vcmeta1.4.0 package

Varying Coefficient Meta-Analysis

meta.ave.var

Confidence interval for an average variance

meta.ave.plot

Forest plot for average effect sizes

cor.from.t

Computes Pearson correlation between paired measurements from t statis...

meta.ave.agree

Confidence interval for an average G-index agreement coefficient

meta.ave.cor.gen

Confidence interval for an average correlation of any type

meta.ave.cor

Confidence interval for an average Pearson or partial correlation

meta.ave.cronbach

Confidence interval for an average Cronbach alpha reliability

meta.ave.fisher

Fisher confidence interval for an average correlation.

meta.ave.gen.cc

Confidence interval for an average effect size using a constant coeffi...

meta.ave.gen.rc

Confidence interval for an average effect size using a random coeffici...

meta.ave.gen

Confidence interval for an average of any parameter

meta.ave.mean.ps

Confidence interval for an average mean difference from paired-samples...

meta.ave.mean2

Confidence interval for an average mean difference from 2-group studie...

meta.ave.meanratio.ps

Confidence interval for an average mean ratio from paired-samples stud...

meta.ave.meanratio2

Confidence interval for an average mean ratio from 2-group studies

meta.ave.odds

Confidence interval for average odds ratio from 2-group studies

meta.ave.path

Confidence interval for an average slope coefficient in a general line...

meta.ave.pbcor

Confidence interval for an average point-biserial correlation

meta.ave.prop.ps

Confidence interval for an average proportion difference in paired-sam...

meta.ave.prop2

Confidence interval for an average proportion difference in 2-group st...

meta.ave.propratio2

Confidence interval for an average proportion ratio from 2-group studi...

meta.ave.semipart

Confidence interval for an average semipartial correlation

meta.chitest

Computes a chi-square test of effect-size homogeneity

meta.ave.slope

Confidence interval for an average slope coefficient

meta.ave.spear

Confidence interval for an average Spearman correlation

meta.ave.stdmean.ps

Confidence interval for an average standardized mean difference from p...

meta.ave.stdmean2

Confidence interval for an average standardized mean difference from 2...

replicate.mean.ps

Compares and combines paired-samples mean differences in original and ...

meta.lc.agree

Confidence interval for a linear contrast of G-index coefficients

meta.lc.gen

Confidence interval for a linear contrast of effect sizes

meta.lc.mean.ps

Confidence interval for a linear contrast of mean differences from pai...

meta.lc.mean1

Confidence interval for a linear contrast of means

meta.lc.mean2

Confidence interval for a linear contrast of mean differences from 2-g...

meta.lc.meanratio.ps

Confidence interval for a log-linear contrast of mean ratios from pair...

meta.lc.meanratio2

Confidence interval for a log-linear contrast of mean ratios from 2-gr...

meta.lc.odds

Confidence interval for a log-linear contrast of odds ratios

meta.lc.prop.ps

Confidence interval for a linear contrast of proportion differences in...

meta.lc.prop1

Confidence interval for a linear contrast of proportions

meta.lc.prop2

Confidence interval for a linear contrast of proportion differences in...

meta.lc.propratio2

Confidence interval for a log-linear contrast of proportion ratios fro...

meta.lc.stdmean.ps

Confidence interval for a linear contrast of standardized mean differe...

meta.lc.stdmean2

Confidence interval for a linear contrast of standardized mean differe...

meta.lm.agree

Meta-regression analysis for G agreement indices

meta.lm.cor.gen

Meta-regression analysis for correlations

meta.lm.cor

Meta-regression analysis for Pearson or partial correlations

meta.lm.cronbach

Meta-regression analysis for Cronbach reliabilities

meta.lm.gen

Meta-regression analysis for any type of effect size

meta.lm.mean.ps

Meta-regression analysis for paired-samples mean differences

meta.lm.mean1

Meta-regression analysis for 1-group means

meta.lm.mean2

Meta-regression analysis for 2-group mean differences

meta.lm.meanratio.ps

Meta-regression analysis for paired-samples log mean ratios

meta.lm.meanratio2

Meta-regression analysis for 2-group log mean ratios

meta.lm.odds

Meta-regression analysis for odds ratios

meta.lm.prop.ps

Meta-regression analysis for paired-samples proportion differences

meta.lm.prop1

Meta-regression analysis for 1-group proportions

meta.lm.prop2

Meta-regression analysis for 2-group proportion differences

meta.lm.propratio2

Meta-regression analysis for proportion ratios

meta.lm.semipart

Meta-regression analysis for semipartial correlations

meta.lm.spear

Meta-regression analysis for Spearman correlations

meta.lm.stdmean.ps

Meta-regression analysis for paired-samples standardized mean differen...

meta.lm.stdmean2

Meta-regression analysis for 2-group standardized mean differences

meta.sub.cor

Confidence interval for a subgroup difference in average Pearson or pa...

meta.sub.cronbach

Confidence interval for a subgroup difference in average Cronbach reli...

meta.sub.gen

Confidence interval for a subgroup difference in average effect size

meta.sub.pbcor

Confidence interval for a subgroup difference in average point-biseria...

meta.sub.semipart

Confidence interval for a subgroup difference in average semipartial c...

meta.sub.spear

Confidence interval for a subgroup difference in average Spearman corr...

replicate.cor.gen

Compares and combines any type of correlation in original and follow-u...

replicate.cor

Compares and combines Pearson or partial correlations in original and ...

replicate.gen

Compares and combines effect sizes in original and follow-up studies

replicate.mean1

Compares and combines single mean in original and follow-up studies

replicate.mean2

Compares and combines 2-group mean differences in original and follow-...

replicate.oddsratio

Compares and combines odds ratios in original and follow-up studies

replicate.plot

Plot to compare estimates from original and follow-up studies

replicate.prop.ps

Compares and combines paired-samples proportion differences in origina...

replicate.prop1

Compares and combines single proportion in original and follow-up stud...

replicate.prop2

Compares and combines 2-group proportion differences in original and f...

replicate.ratio.prop2

Compares and combines 2-group proportion ratios in original and follow...

replicate.slope

Compares and combines slope coefficients in original and follow-up stu...

se.cohen

Computes the standard error for Cohen's d

replicate.spear

Compares and combines Spearman correlations in original and follow-up ...

replicate.stdmean.ps

Compares and combines paired-samples standardized mean differences in ...

replicate.stdmean2

Compares and combines 2-group standardized mean differences in origina...

se.ave.cor.nonover

Computes the standard error for the average of two Pearson correlation...

se.cor

Computes the standard error for a Pearson or partial correlation

se.ave.cor.over

Computes the standard error for the average of two Pearson correlation...

se.ave.mean2.dep

Computes the standard error for the average of 2-group mean difference...

se.biphi

Computes the standard error for a biserial-phi correlation

se.bscor

Computes the standard error for a biserial correlation

se.mean.ps

Computes the standard error for a paired-samples mean difference

se.mean2

Computes the standard error for a 2-group mean difference

se.meanratio.ps

Computes the standard error for a paired-samples log mean ratio

se.meanratio2

Computes the standard error for a 2-group log mean ratio

se.odds

Computes the standard error for a log odds ratio

se.pbcor

Computes the standard error for a point-biserial correlation

se.prop.ps

Computes the estimate and standard error for a paired-samples proporti...

se.prop2

Computes the estimate and standard error for a 2-group proportion diff...

se.semipartial

Computes the standard error for a semipartial correlation

se.slope

Computes a slope and standard error

se.spear

Computes the standard error for a Spearman correlation

se.stdmean.ps

Computes the standard error for a paired-samples standardized mean dif...

se.stdmean2

Computes the standard error for a 2-group standardized mean difference

se.tetra

Computes the standard error for a tetrachoric correlation approximatio...

stdmean2.from.t

Computes Cohen's d from pooled-variance t statistic

table.from.odds

Computes the cell frequencies in a 2x2 table using the marginal propor...

table.from.phi

Computes the cell frequencies in a 2x2 table using the marginal propor...

Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.

  • Maintainer: Douglas G. Bonett
  • License: GPL-3
  • Last published: 2024-07-04